Identified and mapped a concentrated network of fraudulent entities in Fresno, CA using infrastructure, location, and behavioral signals. • Aggregated data across carrier activity, contact information, and infrastructure indicators • Identified clustering patterns based on shared addresses, phone numbers, IP space, and operational behavior • Built visualization of fraud concentration and entity relationships • Correlated infrastructure reuse to uncover linked actors across seemingly unrelated entities • Applied clustering logic to group high-risk entities into a single investigative framework Result: Revealed a concentrated fraud network with shared infrastructure and behavioral patterns, improving the ability to proactively flag and investigate related entities.